Original unpublished manuscripts and not currently under review in another journal or conference, are solicited in relevant areas including, but not limited to, the following topics:
1. Artificial Intelligence and Intelligent Systems
(Core advancements and interdisciplinary applications of AI and intelligent behavior)
- Cognitive Computing and Hybrid Intelligent Systems
- Bio-Inspired, Evolutionary, and Neuromorphic AI
- Intelligent Robotics and Autonomous Systems
- Brain-Computer Interfaces and Human–AI Interaction
- AI for Complex and High-Dimensional Systems (e.g., photonics, swarm intelligence, nonlinear systems)
2. Intelligent Communication, Networks, and IoT Systems
(AI-enabled connectivity, smart infrastructures, and next-generation networks)
- Smart IoT Architectures and Web of Things (WoT)
- AI-Driven Communication Networks (vehicular, mobile, and disaster-response systems)
- 5G/6G Networks, Next-Generation Wireless Systems, and Network Intelligence
- RFID, BLE, and Intelligent Embedded Device Integration
- Blockchain-Enabled Secure IoT and Distributed Network Applications
3. Big Data, Data Science, and Information Security
(From large-scale data processing to secure, ethical, and trustworthy AI systems)
- Big Data Analytics, Stream Processing, and Scalable Data Engineering
- Machine Learning and Deep Learning for Data Science and Knowledge Discovery
- Cybersecurity, Cryptography, and Privacy-Preserving AI
- Blockchain for FinTech, Secure Databases, and Data Integrity
- Trustworthy AI, Data Governance, and Ethical Data-Driven Systems
4. AI for Sustainable Cities, Mobility, and Energy Systems
(AI for building smart, green, and resilient environments)
- Urban AI for Smart Cities, Planning, Traffic, and Public Services
- Intelligent Transportation Systems and Autonomous Mobility
- Energy Optimization, Smart Grids, and Green AI for Infrastructure
- Environmental Monitoring, Climate Analytics, and AI for Sustainability
- Resilient and Sustainable Digital Urban Ecosystems
5. Next-Generation and Embedded AI Technologies
(Emerging AI paradigms for real-world deployment and edge intelligence)
- Generative AI (LLMs, GANs, Diffusion Models, Multimodal AI)
- Explainable, Responsible, and Human-Centered AI
- Edge AI, Real-Time Intelligence, and Low-Power Computing Systems
- AI Hardware: Embedded Chips, Neuromorphic Processors, Smart Sensors
- AI for Cyber-Physical Systems and Industrial Intelligence
6. AI for Medicine, Healthcare, and Agri-Food Systems
(AI innovation for health, agriculture, and food security)
- AI in Medical Imaging, Diagnostics, and Clinical Decision Support
- Personalized Medicine and Predictive Healthcare Systems
- Smart Agriculture, Precision Farming, and Crop Monitoring
- AI for Food Quality, Traceability, and Supply Chain Optimization
- Public Health Analytics and Epidemic Prediction Systems
